21 February 2022 What’s the value of the Qlik MonthEnd() function? Share this message Every Friday at Bitmetric we’re posting a new Qlik certification practice question to our LinkedIn company page. Last Friday we asked the following Qlik Data Architect certification practice question about the Qlik MonthEnd() function: This question lead to some spirited debate here at Bitmetric. Is it fair to ask such an ambiguous question? And what is the correct answer? As ambiguous questions are often found in real Qlik certification exams we decided to post this question. Determining which answer the assessor at Qlik wants to hear and picking the least wrong answer are all part of the ‘metagame’ of Qlik certification. It’s good to be prepared for it. The (most) correct answer is B: 28/02/2022 23:59:59 Consulting the official Qlik help documentation shows us that the MonthEnd() function returns a dual data type containing a timestamp: However, the text representation of that dual value is formatted according to the DateFormat rather than the TimestampFormat. So, we have a numeric value containing a timestamp (44620.999999988, the fractional part is the time) and a text value containing a date (28/02/2022). This becomes clear when we wrap the expression in a Num() function: Confusing! 😕 So it’s a matter of preference then? Option A is equally valid! You could make a reasonable case for that, and some of you did. In our opinion though, option A is less right than option B. To illustrate, take a look at the expressions below: Both MonthEnd(Today()) and MakeDate(2022, 2, 28) return ’28/02/2022′. When we compare both values though, we can see that they’re not the same. If you’ve ever had to troubleshoot why a MonthEnd() date didn’t properly associate with your calendar table you will probably agree. Ultimately, in the certification exam, we’re pretty sure (though not 100% sure) that Qlik wants you to demonstrate that you’re aware MonthEnd() returns a timestamp value. The formatting in my app was different from yours The way dates are formatted by default is driven by the DateFormat number interpretation variable in the Main section of your script. By default, this uses the regional settings of your operating system, so formatting can differ between environments. Some people suggested changing the DateFormat variable to include the time. This is an easy way to temporarily show the ‘real’ value of MonthEnd(Today()). We don’t recommend using this as a permanent setting though, as it’ll mess up the display of regular dates, appending 00:00:00 to all of them. Is there a way to solve this ambiguity? In our opinion, as the MonthEnd() function returns a timestamp, it should use the TimestampFormat for the text value. Leaving out the fractional part is akin to the default text representation of the pi() function being: Additionally, the questions on the Qlik certification exam could sometimes be worded with a bit more clarity. There would be a lot less discussion about the right answer if the question was phrased as: “A Business Analyst uses the expression shown in figure 1. If today’s date is February 18th 2022, and the DateFormat number interpretation variable is set to ‘DD/MM/YYYY hh:mm:ss’, what is the result of the expression?“ The lesson: sometimes there isn’t a 100% right answer, just a less wrong one What initially started as a softball question to follow up last week’s tougher question, quickly resulted in some spirited debate here at Bitmetric. It was great to see this same debate occurring in the thread following this question. Thanks to everyone who participated and shared their thoughts! Next Friday we’ll be posting a question that has a more clear-cut answer. See you then? More from the Bitmetric team Take your Qlik skills to the next level! Since 2013, the Masters Summit for Qlik is the premier advanced training for Qlik. Join us in Vienna and take your Qlik skills to the next level. Join the team! Do you want to work within a highly-skilled, informal team where craftsmanship, ingenuity, knowledge sharing and personal development are valued and encouraged? Check out our job openings. Friday Qlik Test Prep Functions Solution How can we help? Barry has over 20 years experience as a Data & Analytics architect, developer, trainer and author. He will gladly help you with any questions you may have. Call us Mail us 8 October 2024 Artificial Intelligence, Machine Learning, and Deep Learning Explained: How They Impact Your Business In today’s rapidly evolving technological landscape, Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are transforming industries and redefining how businesses operate. In this blog post, we will break down these three definitions and elaborate on them. AI 25 September 2024 Building Ethical AI: Practical Frameworks for Responsible Innovation AI is transforming industries with innovation and efficiency. But with great power comes great responsibility. The real question is: How do you turn ethical principles into actionable guidelines for AI development? And what steps should your team take to make it happen? AI 17 September 2024 What is AI Ready Data Data quality is all about how accurate, consistent, complete, and up-to-date your data is. If your data is good, you’ll get reliable insights and be able to make smarter decisions. It’s a key part of making sure your AI and machine learning projects are successful. AI Qlik
8 October 2024 Artificial Intelligence, Machine Learning, and Deep Learning Explained: How They Impact Your Business In today’s rapidly evolving technological landscape, Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are transforming industries and redefining how businesses operate. In this blog post, we will break down these three definitions and elaborate on them. AI
25 September 2024 Building Ethical AI: Practical Frameworks for Responsible Innovation AI is transforming industries with innovation and efficiency. But with great power comes great responsibility. The real question is: How do you turn ethical principles into actionable guidelines for AI development? And what steps should your team take to make it happen? AI
17 September 2024 What is AI Ready Data Data quality is all about how accurate, consistent, complete, and up-to-date your data is. If your data is good, you’ll get reliable insights and be able to make smarter decisions. It’s a key part of making sure your AI and machine learning projects are successful. AI Qlik